移动学习中教育多媒体的能量感知适应

Asim Jalal, Nicholas Gibbins, D. Millard, B. Al-Hashimi, Naif R. Aljohani
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引用次数: 4

摘要

由于移动设备功能的显著增强和更高数据速率的移动互联网的可用性,在移动设备上使用在线多媒体学习资源越来越受欢迎。然而,移动设备的电池电量有限仍然是移动学习的一大挑战。高质量的多媒体学习资源非常耗电,如果在移动设备上使用,会迅速耗尽电池电量,限制了移动中的学习机会。电池容量缺乏显著的改进导致了对电池节能技术的极大兴趣。现有的节能流媒体适应技术往往通过降低多媒体质量来延长电池寿命,使其容易受到信息丢失的影响。这种损失可能会影响学习内容的有效性,危害学习过程。据我们所知,目前还没有研究在多媒体流适应机制中考虑学习内容的有效性。在本文中,我们提出了MoBELearn系统,这是我们提出的内容感知节能教育多媒体适应(CAPS-EMA)方法的原型实现。我们演示了教育多媒体流媒体的电池效率,同时保持适应的资源适合学习。我们还描述了支持我们的节能自适应技术的教育多媒体资源语义元模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy-Aware Adaptation of Educational Multimedia in Mobile Learning
As a result of tremendous enhancements in the capabilities of mobile devices and availability of higher data rate mobile internet, the use of online multimedia learning resources on mobile devices is increasingly becoming popular. Limited Battery Power of mobile devices, however, is still one big challenge in Mobile Learning. High Quality multimedia learning resources are power hungry and if used on mobile devices drain battery power rapidly limiting learning opportunities on the move. Lack of significant improvements in battery capacities has resulted in significant interest in battery power saving techniques. Existing power-saving streaming multimedia adaptation techniques tend to extend battery life by reducing quality of multimedia making them susceptible to information loss. This loss may affect the learning content efficacy and jeopardizes the learning process. To the best of our knowledge, no previous work has considered the learning content efficacy in multimedia streaming adaptation mechanism. In this paper, we present MoBELearn system, which is a prototype implementation of our proposed Content Aware Power Saving Educational Multimedia Adaptation (CAPS-EMA) approach. We demonstrate battery efficiency in educational multimedia streaming while keeping the adapted resource suitable for learning. We also describe our semantic metamodel for educational multimedia resource that support our energy efficient adaptation technique.
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